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2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Lead Software Engineer, Full Stack (JavaScript, Typescript, Node.js) As a Capital One Lead Software Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning. Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics.
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New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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At CarMax, a Principal Engineer, AI & ML is a technologist and thought leader who can leverage and advance the state-of-the-art in deep learning computer vision and image generation to influence CarMax digital media assets.
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Job title: Senior Machine Learning EngineerJob Description:As a Machine Learning Engineer (MLE), you'll be part of a lean software team dedicated to productionizing machine learning applications and systems at scale.
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Job Description: Data Engineer Tech stack: Python, PySpark, AWS Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services. Job Description: Data Engineer Tech stack: Python, PySpark, AWS Responsibilities: Development and maintenance of data pipelines using Python, PySpark and various AWS services.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is looking for a forward thinking Network Operations Engineer with a mix of technical and operations leadership & management skills in networking, business process engineering, compliance, and tooling/automation to join the Edge & Network Service Coordination (ENSC) team.
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Current in modern technologies including cloud computing, machine learning, predictive analytics, mobility, user experience, security and encryption, High availability design patterns internet of things, etc.
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We're looking for candidates who are passionate about exploring cutting-edge literature and technologies in machine learning, analytics, and data engineering to enhance our transactional systems excellence.
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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications.
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Experience with one or more of the following required (Kubernetes, Kafka, Microservices, Machine Learning, Artificial Intelligence) We are looking for an engineer with a focus on both Information Security and DevOps/Site Reliability who will partner across departments to drive a DevSecOps approach through our cloud and on-prem environments.
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San Francisco, California (Hybrid On-Site): $291,100 - $332,300 for Distinguished Machine Learning Engineer. New York City (Hybrid On-Site): $274,800 - $313,600 for Distinguished Machine Learning Engineer.
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The company applies proprietary machine-learning algorithms and data processing resources to measure travel patterns of vehicles, bicycles and pedestrians that enable complex transportation problem solving using analytics available on SaaS platform, StreetLight InSight.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Additional preference for Oracle certifications in any of the following cloud products: Benefits, Compensation, Payroll, Absence Management, Talent Management, Learning or Recruiting Cloud.
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AI/Machine Learning Engineer, Manager Consultant. Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning. A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
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machine learning engineer jobs in Richmond, VA
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